AI-Flow

Build custom AI tools with a drag-and-drop interface, linking multiple AI models to create unique solutions for tasks like story creation, image generation, and video summarization.
AI Model Integration Custom AI Solutions Drag-and-Drop Development

AI-Flow is an open-source platform for building custom AI tools with a drag-and-drop interface. It lets you link many AI models together for new results. The easy-to-use app lets developers and creators tap into the best AI models from top labs and build their own custom AI tools more easily and quickly without heavy programming.

AI-Flow can link multiple AI models, including GPT-4o, Claude and Stable Diffusion 3, with a choice of 10 models that can be used. You can use it to create illustrated stories, summarize and analyze website content, and create text-to-video output. The service offers prebuilt AI solutions for specific tasks, like creating AI-generated stories, generating images and summarizing YouTube videos.

Among the features:

  • Drag-and-drop Interface: Build AI tools without programming
  • Model Integration: Link multiple AI models, including GPT-4o, Claude and Stable Diffusion 3
  • Custom AI Solutions: Automate AI-powered story creation, image generation, YouTube video summarization and more

You can try the cloud version, which automatically updates and offers some premium features. Otherwise, you can download executables for Windows or use Docker-compose to run it locally. AI-Flow stores flow data in the browser's local storage, but you can save your data as JSON files for longer term storage.

An OpenAI API key is required to run AI-Flow locally and use GPT features, but new accounts get free credits. AI-Flow can generate images using models like DALL-E 3 and Stable Diffusion 3. You can use AI-Flow for free if you self-host it with API keys, but you can try everything without paying a cent. AI-Flow runs on a personal computer with an internet connection.

AI-Flow's newest version, v0.7.0, adds support for resizable display nodes, GPT-4o support and 3D output file formats. You can check the project's website for details and the documentation.

Published on June 14, 2024

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